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DataRobot Stock (DATO)
DataRobot aims to democratize AI for businesses. Their platform automates machine learning, which they claim enables teams to build, deploy, and manage models – accelerating data-driven insights for all skill levels.
DataRobot provides AI technology and ROI enablement services to global enterprises.
About DataRobot Stock
Founded
2012
Headquarters
Boston, MA, US
Total Funding
1.0B
Industries
Software, Data and Analytics, Science and Engineering
DataRobot intends to provide an enterprise AI platform that automates the entire process of AI applications from development and deployment to operation and governance. The company's platform seeks to optimize corporate value by delivering AI at scale and democratize data science with end-to-end automation for machine learning (ML) development.
DataRobot Press Mentions
Stay in the know about the latest news on DataRobot
DataRobot Unifies AI Governance Beyond the Cloud
businesswire • Jul 02, 2026
A 3X Leader for the Agentic Era: DataRobot Named a Leader Again in the Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms
businesswire • Jun 25, 2026
The Top Data Science Platforms According to the FeaturedCustomers Summer 2026 Customer Success Report Rankings
einpresswire • Jun 16, 2026
The 20 Hottest AI Software Companies: The 2026 CRN AI 100
crn • Apr 08, 2026
Dell AI Factory with NVIDIA Delivers Proven Path to Enterprise AI ROI
techbuzzireland • Mar 25, 2026
Investors in DataRobot
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DataRobot Management
Leadership team at DataRobot
Chief Executive Officer
Debanjan Saha
Chief Legal and Financial Officer
Brian Brown
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DataRobot Key Facts
- Deepening Ecosystem Partnerships: DataRobot has strengthened its competitive moat through a significant partnership ecosystem. In March 2026, DataRobot partnered with Nebius to run DataRobot's Agent Workforce Platform directly on Nebius's dedicated AI cloud and NVIDIA's infrastructure to scale production-grade generative agents. This builds on a March 2025 integration embedding NVIDIA AI Enterprise natively into DataRobot's platform. DataRobot continues its deep integration with enterprise data as an SAP Endorsed App and announced a collaboration with Chevron in June 2026, which aims to deploy agentic AI for autonomous robotic safety inspections.
- Sustained Market Leadership: DataRobot continues to maintain strong industry validation for its strategic roadmap and operational execution. In June 2026, the company was named a Leader in the Gartner Magic Quadrant for Data Science and Machine Learning Platforms for the third consecutive year. The company has also been recognized on the Fortune Future 50 list, CNBC Disruptor 50, Forbes Cloud 100, and Forbes AI 50.
- Strategic Expansion in Agentic AI via Acquisition: DataRobot enhanced its competitive market position and compute orchestration capabilities through the acquisition of Agnostiq, announced in February 2025. By integrating Agnostiq’s open-source distributed computing platform, Covalent, DataRobot aims to enable enterprises to dynamically scale and manage AI workloads across hybrid, multi-cloud, and on-premises environments without vendor lock-in.Â
- Implementation and Integration Challenges: Deploying artificial intelligence and machine learning (ML) solutions can be complex and resource-intensive for organizations. DataRobot's platform aims to simplify the process, but challenges related to integration with existing IT infrastructure, customization requirements, and user adoption could hinder its customers' ability to derive value from the platform.
- Data Dependency and Quality Risks: The effectiveness of AI and ML models developed using DataRobot's platform heavily relies on the quality and availability of data. Issues such as data privacy concerns, regulatory changes (e.g., GDPR), or poor data integration could adversely impact the accuracy and reliability of models generated by DataRobot. This dependency introduces risks related to data governance and compliance.
- Intense Competition from Diverse Players: DataRobot operates in a competitive field within the AI and machine learning platform market. Numerous companies offer AI and ML solutions, ranging from large tech firms (like AWS, Google, Microsoft) to specialized startups. This competitive landscape can lead to pricing pressures, reduced margins, and challenges in acquiring and retaining customers.
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